Description

Book Synopsis

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.

Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system.

Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.



Table of Contents

1. Evolutionary Intelligence. 2. Heart Disease Diagnosis. 3. Diabetes Prediction and Classification. 4. Degenerative Diseases. 5. Tuberculosis. 6. Muscular Dystrophy. 7. Tumor Prediction and Classification.

Evolutionary Intelligence for Healthcare Applications

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Order before 4pm today for delivery by Sat 10 Jan 2026.

A Hardback by M. Pavithra, R. Rajmohan, M. Pavithra

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    View other formats and editions of Evolutionary Intelligence for Healthcare Applications by M. Pavithra

    Publisher: Taylor & Francis Ltd
    Publication Date: 11/23/2022 12:00:00 AM
    ISBN13: 9781032185040, 978-1032185040
    ISBN10: 103218504X

    Description

    Book Synopsis

    This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.

    Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system.

    Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.



    Table of Contents

    1. Evolutionary Intelligence. 2. Heart Disease Diagnosis. 3. Diabetes Prediction and Classification. 4. Degenerative Diseases. 5. Tuberculosis. 6. Muscular Dystrophy. 7. Tumor Prediction and Classification.

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